… driving exposure and behaviour, near-miss events, driving context analysis, modelling
approaches to risk assessment, and explainable artificial intelligence … of the driving context profile, …

… they are used in connection with safety critical systems such as autonomous vehicles. As a
result, interest in explainable artificial intelligence (xAI) tools and techniques has increased in …

… Explainable Artificial Intelligence (XAI) and its Principles XAI (Explainable Artificial Intelligence)
deals with eliminating the black box feeling associated with artificial decision making and …

… We hope that readers enjoy all six of the articles contributed on the topic of artificial intelligence,
autonomy, and human-machine teams: interdependence, context, and explainable AI. …

… explainable artificial intelligence (xai)?–a stakeholder perspective on xai and a conceptual
model guiding interdisciplinary xai research,” Artificial Intelligence, vol. 296, p. 103473, 2021. …

… , needs, and demands regarding artificial systems (we call … remains unclear how explainability
approaches are supposed … stakeholders calling for explainability of artificial systems and …

… Autonomous vehicle driving is one of the upcoming areas where AI will be an … for explainable
artificial intelligence:Why, when, what for, and where to?IEEE Computational Intelligence …

… in explainable autonomous driving. … explainable artificial intelligence (XAI): A survey,” 2020,
arXiv:2006.11371. [114] E. Tjoa and C. Guan, “A survey on explainable artificial intelligence (…

… autonomous vehicles that are black-box in nature. Therefore, in this work, to fill the
aforementioned research gap, an explainable artificial intelligence … post-hoc explainability …

… to malicious data, poor neural network design, and … explainable artificial intelligence (XAI)
in a wireless network setting, including public and legal motivations, definitions of explainability…